Spectrum Forecasting Model for IoT Services

Manuel Pérez; Daniel Jaramillo; Diana Pinzón; Fabian Herrera

doi:10.1109/APWC.2018.8503788

Spectrum Forecasting Model for IoT Services

Manuel Pérez, Daniel Jaramillo, Diana Pinzón, Fabian Herrera

Department of Electronic Engineering

Agencia Nacional Del Espectro (ANE)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper proposes a novel forecast model for spectrum requirements considering the emerging IoT services for the next 10 years in Colombia. The model includes services in sectors such as health, agriculture, wearable and smart cities, as well as the identification of key attributes that significantly impact the radio spectrum. The proposed model consider short-range communication technologies such as Bluetooth, Wi-Fi, Zigbee and long-range technologies such as cellular networks (2G, 3G and 4G) and LPWAN networks such as Sigfox and LoRa. On the other hand, although the results of the designed model are presented specifically for the Colombian case, it can be adapted in other countries with spectrum planning requirements for IoT services.

Original language	English
Title of host publication	Proceedings of the 2018 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	877-881
Number of pages	5
ISBN (Electronic)	9781538667651
DOIs	https://doi.org/10.1109/APWC.2018.8503788
State	Published - 23 Oct 2018
Event	8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018 - Cartagena de Indias, Colombia Duration: 10 Sep 2018 → 14 Sep 2018

Publication series

Name	Proceedings of the 2018 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018

Conference

Conference	8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018
Country/Territory	Colombia
City	Cartagena de Indias
Period	10/09/18 → 14/09/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/APWC.2018.8503788

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Pérez, M., Jaramillo, D., Pinzón, D., & Herrera, F. (2018). Spectrum Forecasting Model for IoT Services. In Proceedings of the 2018 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018 (pp. 877-881). Article 8503788 (Proceedings of the 2018 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APWC.2018.8503788

Pérez, Manuel ; Jaramillo, Daniel ; Pinzón, Diana et al. / Spectrum Forecasting Model for IoT Services. Proceedings of the 2018 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 877-881 (Proceedings of the 2018 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018).

@inproceedings{1ca47fb69edc448792913a4cba56a657,

title = "Spectrum Forecasting Model for IoT Services",

abstract = "This paper proposes a novel forecast model for spectrum requirements considering the emerging IoT services for the next 10 years in Colombia. The model includes services in sectors such as health, agriculture, wearable and smart cities, as well as the identification of key attributes that significantly impact the radio spectrum. The proposed model consider short-range communication technologies such as Bluetooth, Wi-Fi, Zigbee and long-range technologies such as cellular networks (2G, 3G and 4G) and LPWAN networks such as Sigfox and LoRa. On the other hand, although the results of the designed model are presented specifically for the Colombian case, it can be adapted in other countries with spectrum planning requirements for IoT services.",

author = "Manuel P{\'e}rez and Daniel Jaramillo and Diana Pinz{\'o}n and Fabian Herrera",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018 ; Conference date: 10-09-2018 Through 14-09-2018",

year = "2018",

month = oct,

day = "23",

doi = "10.1109/APWC.2018.8503788",

language = "English",

series = "Proceedings of the 2018 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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address = "United States",

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Pérez, M , Jaramillo, D, Pinzón, D & Herrera, F 2018, Spectrum Forecasting Model for IoT Services. in Proceedings of the 2018 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018., 8503788, Proceedings of the 2018 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 877-881, 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018, Cartagena de Indias, Colombia, 10/09/18. https://doi.org/10.1109/APWC.2018.8503788

Spectrum Forecasting Model for IoT Services. / Pérez, Manuel ; Jaramillo, Daniel; Pinzón, Diana et al.
Proceedings of the 2018 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 877-881 8503788 (Proceedings of the 2018 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Spectrum Forecasting Model for IoT Services

AU - Pérez, Manuel

AU - Jaramillo, Daniel

AU - Pinzón, Diana

AU - Herrera, Fabian

PY - 2018/10/23

Y1 - 2018/10/23

N2 - This paper proposes a novel forecast model for spectrum requirements considering the emerging IoT services for the next 10 years in Colombia. The model includes services in sectors such as health, agriculture, wearable and smart cities, as well as the identification of key attributes that significantly impact the radio spectrum. The proposed model consider short-range communication technologies such as Bluetooth, Wi-Fi, Zigbee and long-range technologies such as cellular networks (2G, 3G and 4G) and LPWAN networks such as Sigfox and LoRa. On the other hand, although the results of the designed model are presented specifically for the Colombian case, it can be adapted in other countries with spectrum planning requirements for IoT services.

AB - This paper proposes a novel forecast model for spectrum requirements considering the emerging IoT services for the next 10 years in Colombia. The model includes services in sectors such as health, agriculture, wearable and smart cities, as well as the identification of key attributes that significantly impact the radio spectrum. The proposed model consider short-range communication technologies such as Bluetooth, Wi-Fi, Zigbee and long-range technologies such as cellular networks (2G, 3G and 4G) and LPWAN networks such as Sigfox and LoRa. On the other hand, although the results of the designed model are presented specifically for the Colombian case, it can be adapted in other countries with spectrum planning requirements for IoT services.

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U2 - 10.1109/APWC.2018.8503788

DO - 10.1109/APWC.2018.8503788

M3 - Conference contribution

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T3 - Proceedings of the 2018 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018

SP - 877

EP - 881

BT - Proceedings of the 2018 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018

Y2 - 10 September 2018 through 14 September 2018

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Pérez M , Jaramillo D, Pinzón D, Herrera F. Spectrum Forecasting Model for IoT Services. In Proceedings of the 2018 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 877-881. 8503788. (Proceedings of the 2018 8th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2018). doi: 10.1109/APWC.2018.8503788

Spectrum Forecasting Model for IoT Services

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